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Topology Preservation and Regularity in Estimated Deformation Fields

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Information Processing in Medical Imaging (IPMI 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2732))

Abstract

A general formalism to impose topology preserving regularity on a given irregular deformation field is presented. The topology preservation conditions are derived with regard to the discrete approximations to the deformation field Jacobian in a two-dimensional image registration problem. The problem of enforcing topology preservation onto a given deformation field is formulated in terms of the deformation gradients, and solved using a cyclic projections approach. The generalization of the developed algorithm leads to a deformation field regularity control by limiting the per voxel volumetric change within a prescribed interval. Extension of the topology preservation conditions onto a three-dimensional registration problem is also presented, together with a comparative analysis of the proposed algorithm with respect to a Gaussian regularizer that enforces the same topology preservation conditions.

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References

  1. Christensen, G.E., Rabbitt, R.D., Miller, M.I.: Deformable templates using large deformation kinematics. IEEE Trans. on Image Processing 5, 1435–1447 (1996)

    Article  Google Scholar 

  2. Musse, O., Heitz, F., Armspach, J.P.: Topology preserving deformable image matching using constrained hierarchical parametric models. IEEE Trans. on Image Processing 10, 1081–1093 (2001)

    Article  MATH  Google Scholar 

  3. Ashburner, J., Andersson, J.L.R., Friston, K.J.: High-dimensional image registration using symmetric priors. NeuroImage 9, 619–628 (1999)

    Article  Google Scholar 

  4. Joshi, S.C., Miller, M.I.: Landmark matching via large deformation diffeomorphisms. IEEE Trans. on Image Processing 9, 1357–1370 (2000)

    Article  MATH  MathSciNet  Google Scholar 

  5. Johnson, H.J., Christensen, G.E.: Landmark and intensity based, consistent thinplate spline image registration. In: Insana, M.F., Leahy, R.M. (eds.) IPMI 2001. LNCS, vol. 2082, pp. 329–343. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  6. Thirion, J.P.: Image matching as a diffusion process: an analogy with maxwell’s demons. Medical Image Analysis 2, 243–260 (1998)

    Article  Google Scholar 

  7. Karaçalı, B., Snyder, W.: Partial integrability in surface reconstruction from a given gradient field. In: IEEE International Conference on Image Processing, vol. 2, pp. 525–528 (2002)

    Google Scholar 

  8. Trussell, H.J., Civinlar, M.: The feasible solution in signal restoration. IEEE Trans. on Acoustics, Speech, Signal Processing 32, 201–212 (1984)

    Article  Google Scholar 

  9. Combettes, P.L.: The foundations of set theoretic estimation. Proceedings of IEEE 81, 182–208 (1993)

    Article  Google Scholar 

  10. Cocosco, C., Kollokian, V., Kwan, R.S., Evans, A.: Brainweb: Online interface to a 3d mri simulated brain database. In: 3-rd International Conference on Functional Mapping of the Human Brain, vol. 5, p. 4 (1997)

    Google Scholar 

  11. Bookstein, F.L.: Principal warps: Thin-plate splines and the decomposition of deformations. IEEE Trans. on Pattern Analysis and Machine Intelligence 11, 567–585 (1989)

    Article  MATH  Google Scholar 

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© 2003 Springer-Verlag Berlin Heidelberg

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Karaçalı, B., Davatzikos, C. (2003). Topology Preservation and Regularity in Estimated Deformation Fields. In: Taylor, C., Noble, J.A. (eds) Information Processing in Medical Imaging. IPMI 2003. Lecture Notes in Computer Science, vol 2732. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45087-0_36

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  • DOI: https://doi.org/10.1007/978-3-540-45087-0_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40560-3

  • Online ISBN: 978-3-540-45087-0

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